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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Coordinate several agents around one outcome.
- Assign specialist roles and handoffs.
- Inspect launch packets before running a team.
Recommended trials and bundles
Search the web using Kagi's search API Browse Kagi Search MCP Server for Claude, Cursor, VS Code, and other AI agents.
- Fit
- 72 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you initialize new Base44 projects and manage CLI workflows using the base44-cli, guiding setup and authentication.
- Fit
- 72 / 100
- Trust
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This skill helps you build features in existing Base44 projects by leveraging the SDK to manage entities, auth, and AI integrations.
- Fit
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- Trust
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Review links
Predict anything with Chronulus AI forecasting and prediction agents. Browse Chronulus AI MCP Server for Claude, Cursor, VS Code, and other AI agents.
- Fit
- 72 / 100
- Trust
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- Install
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Review links
This is a CLI gateway to Agently's marketplace of AI agents, tools, and APIs. It routes all MCP, HTTP, and A2A protocol calls through a single interface that handles wallet management and x402 micropayments on Base. You search for agents, inspect their capabilities, then call them with built-in cost transparency (dry run first, pay after approval). The docs...
- Fit
- 72 / 100
- Trust
- Needs review
- Install
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Review links
This skill guides map design using Mapbox cartography principles to improve color, typography, hierarchy, and accessibility for compelling maps.
- Fit
- 72 / 100
- Trust
- Needs review
- Install
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Review links
This skill guides migrating from MapLibre GL JS to Mapbox GL JS, detailing API compatibility, token setup, style changes, and benefits of Mapbox ecosystem.
- Fit
- 72 / 100
- Trust
- Needs review
- Install
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Review links
This skill helps you implement Mapbox search end-to-end, from discovery questions to production-ready integration with best practices.
- Fit
- 72 / 100
- Trust
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- Install
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Review links
This skill provides battle-tested map style patterns and layer configurations for common use cases like restaurants, real estate, data visualization, and
- Fit
- 72 / 100
- Trust
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- Install
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Review links
This skill helps you securely manage Mapbox access tokens by enforcing scope, URL restrictions, rotation, and proper storage across environments.
- Fit
- 72 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides building MCP servers that integrate external APIs with LLMs, covering Python and TypeScript implementations.
- Fit
- 72 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Build voice AI agents on LiveKit Cloud with structured workflows, minimal latency, and mandatory test coverage. Use LiveKit Cloud and LiveKit Inference for managed infrastructure and AI models without separate API keys Design agents around handoffs (agent-to-agent transitions) and tasks (scoped operations) to isolate context and reduce latency Every agent i...
- Fit
- 72 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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Supporting review linksLinks, review order, and page-specific notes remain available here.
4955 matching candidates for Multi-agent Orchestration. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.